Students in Mesa Public Schools participating in National School Lunch Program (Free/Reduced) by School Year and School for School Year 2010-2016. 1. The report provides claim data for the month of October as reported by School Food Authorities (SFA). An SFA is the governing body which is responsible for the administration of the National School Lunch Program (NSLP). 2. All data is pertaining to children enrolled at locations that participate in NSLP. Children NOT enrolled at an NSLP participating location cannot technically be approved for free or reduced-price lunches. 3. The Report is created on January 30th. 4. The data provided here is NOT equivalent to NCLB indicators that are uploaded to SAIS. 5. Cells with an asterisk(*) indicate data has been suppressed to meet FERPA requirements. 6. The Site Level percentage is derived by dividing the sum of all free lunch eligible children AND all reduced-price lunch eligible children by the sum of all free lunch eligible children AND reduced-price lunch eligible children AND paid lunch eligible children. For any additional data needs, please visit our Data Management page at www.azed.gov/data/ 7. Enrollment figures are as of the last day in October
Use the filters to add/remove schools to compare for the years 2010-2017

Mesa residents 25 years and over who reported having a Bachelor's degree or higher by Science, Technology, Engineering, Math (STEM) categories.

Selected American Community Survey variables from Mesa and other nearby municipalities.
This dataset uses 5-year estimates.

Selected American Community Survey (https://www.census.gov/programs-surveys/acs) variables from Mesa and other nearby municipalities. This dataset uses 5-year estimates, is the most reliable estimates available, inlcudes the largest sample size and provides data for all areas including census tracts. This dataset is released annually: 2009-present. This dataset is best used when precision is more important than currency, analyzing very small populations, examining tracts and other smaller geographies because 1-year estimates are not available.

Selected American Community Survey (https://www.census.gov/programs-surveys/acs) variables from Mesa and other nearby municipalities. This dataset uses 5-year estimates, is the most reliable estimates available, inlcudes the largest sample size and provides data for all areas including census tracts. This dataset is released annually: 2009-present. This dataset is best used when precision is more important than currency, analyzing very small populations, examining tracts and other smaller geographies because 1-year estimates are not available.

Selected American Community Survey (https://www.census.gov/programs-surveys/acs) variables from Mesa and other nearby municipalities. This dataset uses 5-year estimates, is the most reliable estimates available, inlcudes the largest sample size and provides data for all areas including census tracts. This dataset is released annually: 2009-present. This dataset is best used when precision is more important than currency, analyzing very small populations, examining tracts and other smaller geographies because 1-year estimates are not available.

Selected American Community Survey variables from Mesa and other nearby municipalities. This dataset uses 1-year estimates. For data news and release schedule see https://www.census.gov/programs-surveys/acs/news/data-releases.html?#

Selected American Community Survey variables from Mesa and other nearby municipalities.
This dataset uses 5-year estimates.

Selected American Community Survey variables from Mesa and other nearby municipalities.
This dataset uses 5-year estimates.

Selected American Community Survey (https://www.census.gov/programs-surveys/acs) variables from Mesa and other nearby municipalities. This dataset uses 5-year estimates, is the most reliable estimates available, inlcudes the largest sample size and provides data for all areas including census tracts. This dataset is released annually: 2009-present. This dataset is best used when precision is more important than currency, analyzing very small populations, examining tracts and other smaller geographies because 1-year estimates are not available.